datasets for graph learning,···\
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Updated
Jul 26, 2022
datasets for graph learning,···\
GCN图神经网络:理论+实践
Final assignment of EE226 course in SJTU by Group 12
A simple program that can perform social network analysis tasks on graph data.
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
code implementation of GNNs in few-shot learning: GCN, GAT, GraphSAGE to the node classification task.
ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation
Social Networks, Connectivity, GPS modules
ISI 7th Summer School Project on implementing 2-layer GCN on CORA, CiteSeer, PubMed datasets, using PyTorch, and analyzing Oversmoothing by going deep upto 1024 layers
Code for PRL paper: "GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network"
Work we did for a practical course in graph learning, organized by department Informatik 7 at RWTH University
NACFormer_MS model
a method to count the source node,sink node,and driver node in a graph
Source code for NeurIPS 2020 paper "Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding"
Product Browse Node Classification
Toloker Graph: Interaction of Crowd Annotators
This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
This repository contains the implementation of some of the popular Graph Neural Networks (GNNs) using PyTorch Geometric to solve node classification tasks.
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